Papers

3

Total Citations

213

H-Index

3

About

A. Ambikapathy is a prominent researcher in robotics and automation, with a focus on developing intelligent, human-assistive systems. Their work centers on integrating embedded systems, computer vision, and mobile platforms to create practical robotic solutions. Ambikapathy’s most influential contribution is the "Analysis of Object Following Robot Module Using Android, Arduino and Open CV, Raspberry Pi with OpenCV and Color Based Vision Recognition," which has garnered 143 citations, demonstrating its significant impact on the field of vision-based robotics. This work showcases a novel approach to enabling robots to autonomously track and follow objects using affordable, open-source hardware and software. Further contributions include the "Smart Electronic Arm Module using Arduino Applications" (47 citations), which advances automation for everyday tasks, and the forward-looking "Implementation of Automated Robot for Vertical Surfaces" (23 citations), addressing critical needs in industrial maintenance and infrastructure inspection. Ambikapathy’s research is characterized by its emphasis on low-cost, accessible technologies, making advanced robotics more deployable in real-world settings. Their work not only pushes the boundaries of autonomous systems but also provides a clear pathway for students and researchers to engage with practical, impactful robotics engineering.

Research Focus

Key Achievements

3
H-Index
3
Papers
213
Total Citations
71
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of Object Following Robot Module Using Android, Arduino and Open CV, Raspberry Pi with OpenCV and Color Based Vision Recognition
143 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Galgotias University, Saveetha University, Noida International University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago